David Trastour

1.1k citations
17 papers · 490 · h-index 14

Impact in

Papers in

David Trastour

17 papers receiving 430 citations

Peers

David Trastour
Comparison fields: 5 of 37
  • Management Information Systems 202
  • Information Systems 373
  • Computer Networks and Communications 227
  • Artificial Intelligence 266
  • Management Science and Operations Research 31
Replace Farouk Toumani with:
Farouk Toumani France
Peep Küngas Sweden
Hamid R. Motahari Nezhad United States
Nicolas Repp Germany
Sebastian Abeck Germany
Katia P. Sycara United States
Vladimir Tošić Australia
Philippe Thiran Belgium
Rachid Hamadi Australia
Desmond D’Souza United States
David Trastour relative to Farouk Toumani France Farouk Toumani's profile →
Citations per field
00.5×1.5×
Farouk Toumani · 1×
Citations per year

Countries citing papers authored by David Trastour

Since Specialization
Citations

This map shows the geographic impact of David Trastour's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Trastour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Trastour more than expected).

Fields of papers citing papers by David Trastour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Trastour. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Trastour. The network helps show where David Trastour may publish in the future.

Co-authors

The 14 scholars most cited alongside David Trastour, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Trastour Line = papers co-authored together David Trastour links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
A semantic web approach to service description for matchmaking of services
200199
2
Description logics for matchmaking of services
200191
3 200260
4 200642
5 200731
6 200421
7 200318
8 200918
9 200817
10 200415
11 200215
12 200815
13 200415
14 200913
15 20099
16 20096
17 20095

About David Trastour

David Trastour is a scholar working on Information Systems, Management Information Systems, Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research, having authored 17 papers that have together received 490 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (17 papers), Business Process Modeling and Analysis (12 papers), Semantic Web and Ontologies (7 papers), Software System Performance and Reliability (3 papers), Advanced Software Engineering Methodologies (3 papers), Information Technology Governance and Strategy (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Multi-Agent Systems and Negotiation (1 paper). The work is most often cited by research in Management Information Systems (202 citations), Information Systems (373 citations), Computer Networks and Communications (227 citations), Artificial Intelligence (266 citations) and Management Science and Operations Research (31 citations). David Trastour has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Claudio Bartolini, Javier González-Castillo, Chris Preist, M. Salle, Cristiano Bonato Both, Weverton Cordeiro, Lisandro Zambenedetti Granville, Luciano Paschoal Gaspary, Marek Sergot and Derek Coleman. Their work appears in journals such as Computer Networks and International Semantic Web Conference.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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